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Numerical modeling and simulation of temperature distribution uncertainty subject to ferromagnetic thermoseeds hyperthermia

  • Article
  • Biophysics
  • Published:
Chinese Science Bulletin

Abstract

In the process of ferromagnetic thermoseeds mediated magnetic induction hyperthermia, the temperature distribution in the tumor region is a key factor to determine the therapy effect. During the preoperative treatment planning, discrepancies of the treatment parameters may lead to the temperature distribution uncertainty within the target area. Inaccurate prediction of temperature distribution may induce the treatment failure; therefore, it would be significant to investigate the uncertainty of tissue temperature prediction caused by the disturbance of calculation parameters. In this paper, 3D temperature field and necrosis zone of tissues in ferromagnetic thermoseeds hyperthermia are simulated by the finite volume algorithm, and effects of parameter uncertainties on the temperature distribution are revealed. Results show that selecting appropriate magnetic field parameters for treatment is a priority to guarantee therapeutic effect. Thermoseed properties and blood perfusion rate are the obvious disturbing terms for temperature distribution, while the metabolic heat of bio-tissues can often be ignored within limits. Our investigation is of importance for guiding reasonable and optimal preoperative treatment planning.

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References

  1. Kida Y, Mori Y, Hattori T et al (1990) Interstitial hyperthermia of malignant gliomas with implant heating system. Neurol Surg Tokyo 18:1007

    Google Scholar 

  2. Kobayashi T, Kida Y, Tanaka T et al (1991) Interstitial hyperthermia of malignant brain tumors by implant heating system: clinical experience. J Neuro Oncol 10:153–163

    Article  Google Scholar 

  3. Tucker RD, Huidobro C, Larson T et al (2000) Use of permanent interstitial temperature self-regulating rods for ablation of prostate cancer. J Endourol 14:511–517

    Article  Google Scholar 

  4. Tucker RD (2003) Use of interstitial temperature self-regulating thermal rods in the treatment of prostate cancer. J Endourol 17:601–607

    Article  Google Scholar 

  5. Deger S, Taymoorian K, Boehmer D et al (2004) Thermoradiotherapy using interstitial self-regulating thermoseeds: an intermediate analysis of a phase II trial. Eur Urol 45:574–580

    Article  Google Scholar 

  6. Master VA, Shinohara K, Carroll PR (2004) Ferromagnetic thermal ablation of locally recurrent prostate cancer: prostate specific antigen results and immediate/intermediate morbidities. J Urology 172:2197–2202

    Article  Google Scholar 

  7. Wang YY, Zhao LY, Wang XW et al (2010) Research progress and clinical trials of magnetic induction hyperthermia for cancer treatment. Sci Technol Rev 28:101–107 (in Chinese)

    Google Scholar 

  8. Wang XF, Wang XW, Zhao LY et al (2010) Magnetic induction hyperthermia treatments by using multiple magnetic materials. Sci Technol Rev 28:97–105 (in Chinese)

    Google Scholar 

  9. Lin SY, Li RY (1997) Modern hyperthermia: principles, methods and clinics. China Academic Press, Bei**g (in Chinese)

    Google Scholar 

  10. Tang JT (2010) Tumor Hyperthermia Biology. People’s Medical Publishing House, Bei**g (in Chinese)

    Google Scholar 

  11. Nemkov V, Goldstein R, Ruffini R et al (2010) Design study of induction coil for generating magnetic field for cancer hyperthermia research. Paper presented in the International Symposium on Heating by EM Sources, Padua, 18–21 May 2010

  12. Haider SA, Cetas T, Wait J et al (1991) Power absorption in ferromagnetic implants from radiofrequency magnetic fields and the problem of optimization. IEEE T Microw Theory 39:1817–1827

    Article  Google Scholar 

  13. Cai DY, Li L, Kong WC et al (2013) Feasibility of the magnetic induction hyperthermia combined with 125I brachytherapy. Sci Technol Rev 31:18–22 (in Chinese)

    Google Scholar 

  14. Pennes HH (1948) Analysis of tissue and arterial blood temperatures in the resting human forearm. J Appl Physiol 1:93–122

    Google Scholar 

  15. Yue K, Zheng SB, Luo YH et al (2011) Determination of the 3D temperature distribution during ferromagnetic hyperthermia under the influence of blood flow. J Therm Biol 36:498–506

    Article  Google Scholar 

  16. Li RX (2008) Basis of finite volume method. National Defense Industry Press, Bei**g (in Chinese)

  17. Jiang SC, Zhang XX (2005) Effects of dynamic changes of tissue properties during laser-induced interstitial thermotherapy (LITT). Lasers Med Sci 19:197–202

    Article  Google Scholar 

  18. Zhai WM, Xu J, Zhao YN et al (2008) Preoperative surgery planning for percutaneous hepatic microwave ablation. Paper presented at the Medical Image Computing and Computer-Assisted Intervention–MICCAI, 569–577 2008

  19. Diller KR (1994) The mechanisms and kinetics of heat injury accumulation. Ann NY Acad Sci 720:38–55

    Article  Google Scholar 

  20. He X, Bischof JC (2003) Quantification of temperature and injury response in thermal therapy and cryosurgery. Crit Rev Biomed Eng 31:355–421

    Article  Google Scholar 

  21. He X, Bischof JC (2005) The kinetics of thermal injury in human renal carcinoma cells. Ann Biomed Eng 33:502–510

    Article  Google Scholar 

  22. Liu J (2001) Uncertainty analysis for temperature prediction of biological bodies subject to randomly spatial heating. J Biomech 34:1637–1642

    Article  Google Scholar 

  23. Rabin Y (2003) A general model for the propagation of uncertainty in measurements into heat transfer simulations and its application to cryosurgery. Cryobiology 46:109–120

    Article  Google Scholar 

  24. Greef M, Kok H, Correia D et al (2010) Optimization in hyperthermia treatment planning: the impact of tissue perfusion uncertainty. Med Phys 37:4540–4550

    Article  Google Scholar 

  25. Deng ZS, Liu J (2004) Uncertainty analysis of 3-D temperature distribution during treatment planning of tumor hyperthermia. J Eng Thermophys-Rus 25:664–666

    Google Scholar 

  26. Holmes K (1997) Biological structures and heat transfer. In: Allerton Workshop on the Future of Biothermal Engineering, Monticello, 19–22 April 1997

  27. Deng ZS, Liu J (2001) Study on the noninvasive measurement on the biological blood perfusion in vivo. Chin J Biomed Eng 20:1–11 (in Chinese)

    Google Scholar 

  28. Liu J, Deng ZS (2008) Physics of tumor hyperthermia. Science Press, Bei**g (in Chinese)

    Google Scholar 

  29. Zhang XD, Zhu LY, Guo ZD et al (2009) Magnetocaloric effect of Ni–Cu thermoseed used in magnetic inductive therapy and effect of Au coating on the heating efficiency. J Magn Mater Devices 40:15–20 (in Chinese)

    Article  Google Scholar 

  30. Jordan A, Scholz R, Maier-Hauff K et al (2001) Presentation of a new magnetic field therapy system for the treatment of human solid tumors with magnetic fluid hyperthermia. J Magn Magn Mater 225:118–126

    Article  Google Scholar 

  31. Cao XR, Cai DY, Zhang XD et al (2010) Simulation and optimization of magnetic core of magnetic induction hyperthermia device based on finite element method. Paper presented at the China Instrument Society Annual Conference, Fuzhou, 25 Sept 2010 (in Chinese)

  32. Guo ZD, Yan L, Wang XW et al (2009) Heating of isolated tissues by self-regulating thermoseeds. Chin J Min Inv Surg 9:495–497 (in Chinese)

    Google Scholar 

  33. Brezovich IA, Atkinson WJ, Chakraborty DP (1984) Temperature distributions in tumor models heated by self-regulating nickel–copper alloy thermoseeds. Med Phys 11:145–152

    Google Scholar 

  34. Tompkins DT, Vanderby R, Klein SA et al (1994) Effect of interseed spacing, tissue perfusion, thermoseed temperatures and catheters in ferromagnetic hyperthermia: results from simulations using finite element models of thermoseeds and catheters. IEEE T Bio-Med Eng 41:975–985

    Article  Google Scholar 

  35. Dughiero F, Corazza S (2005) Numerical simulation of thermal disposition with induction heating used for oncological hyperthermic treatment. Med Biol Eng Comput 43:40–46

    Article  Google Scholar 

  36. Kotte A, Wieringen NV, Lagendijk J (1999) Modelling tissue heating with ferromagnetic seeds. Phys Med Biol 43:105–120

    Article  Google Scholar 

  37. Chen ZP, Roemer RB, Cetas TC (1992) Three-dimensional simulations of ferromagnetic implant hyperthermia. Med Phys 19:989

    Article  Google Scholar 

  38. Meng C, Tang JT, Cheng JP et al (2006) Three-dimensional simulation of the temperature research for ferromagnetic hyperthermia. Paper presented in the 11th Chinese Conference of Stereology and Image Analysis, Ningbo, 17–21 Oct 2006

  39. Meng C (2007) Core technology research of magnetic induction hyperthermia. Tsinghua University, Bei**g

    Google Scholar 

  40. Meng C, Wu HX, Tang JT et al (2008) The Algorism Research for the Ferromagnetic Induction Hyperthermia Treatment Planning System. Paper presented in the 14th session of the National Nuclear Science and Nuclear Detection Technology Annual Conference Proceedings, Urumchi, 15–20 July 2008 (in Chinese)

  41. Müller GJ, Roggan A (1995) Laser-induced interstitial thermotherapy. SPIE Press, Bellingham

    Google Scholar 

  42. Parkes LM, Tofts PS (2002) Improved accuracy of human cerebral blood perfusion measurements using arterial spin labeling: accounting for capillary water permeability. Magnet Reson Med 48:27–41

    Article  Google Scholar 

  43. Wu J, Long Q, Xu SX et al (2009) Study of tumor blood perfusion and its variation due to vascular normalization by anti-angiogenic therapy based on 3D angiogenic microvasculature. J Biomech 42:712–721

    Article  Google Scholar 

  44. Zhang YT, Liu J (2001) Analysis of the freezing/thawing process of heat transfer in living tissures in terms of temperature-dependent blood perfusion. Space Med Med Eng 14:182–186 (in Chinese)

    Google Scholar 

  45. Zhai WM, Sheng L, Song YX et al (2011) Image guided computer assisted microwave ablation for liver cancer. J Comput Res Dev 48:281–288 (in Chinese)

    Google Scholar 

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Acknowledgments

This work was supported by the Bei**g Municipal Science and Technology Commission (Z111100067311053), and the Technology Support Program of China (2012BAI15B04).

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Authors and Affiliations

  1. Key Laboratory Particle & Radiation Imaging, Ministry of Education, Department of Engineering Physics, Tsinghua University, Bei**g, 100084, China

    Zi-Han Zhuo, Jie Wang, Wei-Ming Zhai, Heng Wang & **-Tian Tang

  2. State Key Laboratory of Intelligent Technology and Systems, National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Bei**g, 100084, China

    Wei-Ming Zhai

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  1. Zi-Han Zhuo
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  2. Jie Wang
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  5. **-Tian Tang
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Correspondence to **-Tian Tang.

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Zhuo, ZH., Wang, J., Zhai, WM. et al. Numerical modeling and simulation of temperature distribution uncertainty subject to ferromagnetic thermoseeds hyperthermia. Chin. Sci. Bull. 59, 1317–1325 (2014). https://doi.org/10.1007/s11434-014-0190-0

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  • DOI: https://doi.org/10.1007/s11434-014-0190-0

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